상세정보
학술대회
Detecting a Large Number of Objects in Real-Time Using Apache Storm
- 발행일
- 201410
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2014, pp.836-838
- 협약과제
- 14MR9400, (통합)방송용 영상 인식 기반 객체 중심 지식 융합 미디어 서비스 플랫폼 개발, 조기성
- 초록
- Object detection is an important function for intelligent multimedia processing, but its computational complexity prevented its pervasive uses in consumer electronics. To process large-scale datasets in real-time, more resources and reliable infrastructures are required for spreading the data and running the applications across multiple machines in parallel. In order to detect a large number of objects in real-time, a task-parallel processing framework based on Storm is proposed.
- KSP 제안 키워드
- Computational complexity, Important function, Intelligent Multimedia, Large-scale datasets, Multimedia processing, Object detection, Parallel Processing, Real-Time, apache storm, consumer electronics